Mathematical Geosciences Hybrid Symbolic-Numeric Methods /

• Main Authors: Awange, Joseph L. (Author, http://id.loc.gov/vocabulary/relators/aut), Paláncz, Béla (http://id.loc.gov/vocabulary/relators/aut), Lewis, Robert H. (http://id.loc.gov/vocabulary/relators/aut), Völgyesi, Lajos (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Geology.; Mathematical physics.; Environmental sciences.; Geographical information systems.; Atmospheric sciences.; Mathematical Applications in the Physical Sciences.; Math. Appl. in Environmental Science.; Geographical Information Systems/Cartography.; Atmospheric Sciences.

This book showcases powerful new hybrid methods that combine numerical and symbolic algorithms. Hybrid algorithm research is currently one of the most promising directions in the context of geosciences mathematics and computer mathematics in general. One important topic addressed here with a broad r...

Table of Contents:

• Solution of algebraic polynomial systems
• Homotopy solution of nonlinear systems
• Over and underdeterminated systems
• Simulated annealing
• Genetic algorithm
• Particle swarm optimization
• Integer programming
• Multiobjective optimization
• Approximation with radial bases functions
• Support vector machines (SVM)
• Symbolic regression
• Quantile regression
• Robust regression
• Stochastic modeling
• Parallel computations.